OAIZIB-CM: Dataset from the CartiMorph Project

This is the official release of OAIZIB-CM dataset.

OAIZIB-CM is based on the OAIZIB dataset

OAIZIB paper: Automated Segmentation of Knee Bone and Cartilage combining Statistical Shape Knowledge and Convolutional Neural Networks: Data from the Osteoarthritis Initiative

In OAIZIB-CM, tibial cartilage is split into medial and lateral tibial cartilages.

OAIZIB-CM includes CLAIR-Knee-103R, consisting of 

a template image learned from 103 MR images of subjects without radiographic OA

corresponding 5-ROI segmentation mask for cartilages and bones

corresponding 20-ROI atlas for articular cartilages

It is compulsory to cite the paper if you use the dataset

CartiMorph: A framework for automated knee articular cartilage morphometrics

For convenient dataset download in Python, please refer to the Hugging Face release of the same dataset:https://huggingface.co/datasets/YongchengYAO/OAIZIB-CM